Evidence map›Paper›PMID 37853326›Full record

ArticleBMC medical research methodology2023

Mapping Hungarian procedure codes to SNOMED CT.

Ágota Mészáros, Sándor Kovács, Tibor Héja, Zsolt Bagyura, Antal Zemplényi

Abstract read
In one paragraph

Article in BMC medical research methodology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ágota MészárosDepartment of Public Health, Semmelweis University, Budapest, Hungary. meszaros.agota@semmelweis.hu.
Sándor KovácsFaculty of Pharmacy, Center for Health Technology Assessment and Pharmacoeconomic Research, University of Pécs, Pécs, Hungary.
Tibor HéjaFaculty of Pharmacy, Center for Health Technology Assessment and Pharmacoeconomic Research, University of Pécs, Pécs, Hungary.
Zsolt Bagyura *Heart and Vascular Centre, Semmelweis University, Budapest, Hungary.
Antal Zemplényi *Faculty of Pharmacy, Center for Health Technology Assessment and Pharmacoeconomic Research, University of Pécs, Pécs, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData harmonisation is essential in real-world data (RWD) research projects based on hospital information systems databases, as coding systems differ between countries. The Hungarian hospital information systems and the national claims database use internationally known diagnosis codes, but data on medical procedures are recorded using national codes. There is no simple or standard solution for mapping the national codes to a standard coding system. Our aim was to map the Hungarian procedure codes (OENO) to SNOMED CT as part of the European Health Data Evidence Network (EHDEN) project.

methodsWe recruited 25 professionals from different specialties to manually map the procedure codes used between 2011 and 2021. A mapping protocol and training material were developed, results were regularly revised, and the challenges of mapping were recorded. Approximately 7% of the codes were mapped by more people in different specialties for validation purposes.

resultsWe mapped 4661 OENO codes to standard vocabularies, mostly SNOMED CT. We categorized the challenges into three main areas: semantic, matching, and methodological. Semantic refers to the occasionally unclear meaning of the OENO codes, matching to the different granularity and purpose of the OENO and SNOMED CT vocabularies. Lastly, methodological challenges were used to describe issues related to the design of the above-mentioned two vocabularies.

conclusionsThe challenges and solutions presented here may help other researchers to design their process to map their national codes to standard vocabularies in order to achieve greater consistency in mapping results. Moreover, we believe that our work will allow for better use of RWD collected in Hungary in international research collaborations.

Indexed as

Medical Records Systems, ComputerizedSystematized Nomenclature of MedicineDatabases, FactualHumansHungaryRecordsData harmonizationElectronic medical recordFederated data networkHealth dataReal-world data

Identifiers

PMID37853326
PMCPMC10585817

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.